Optimization on kinematic characteristics and lightweight of a camellia fruit picking machine based on the Kriging surrogate model

In order to achieve fully automated picking of camellia fruit and overcome the technical difficulties current machinery such as inefficient service manual auxiliary picking, a novel multi-links-based machine was proposed in this paper. The working principle process device analyzed. mechanism kinematics equation given, velocity executive body obtained, well acceleration. acceleration at pivotal positions tested forest, simulated results agreed with experimental ones. Then, maximum weight considered optimization objective, rotating speed crank, radius thickness crank length link rod were regarded design variable. Based on Kriging surrogate model, relationship between variables objectives built, their interrelations Finally, optimal solution acquired by non-dominated sorting genetic algorithm II, which resulted reduction 31.30%, decrease 27.51%.